AI Agent & Data Lead

As a member of the Strategic Bid team, this person will play a key role in developing and evolving WSP’s AI-enabled work winning capability. Reporting to the Director, Bid Transformation, they will be responsible for designing, building and continuously improving AI agents, tools and data-enabled solutions that support how WSP identifies, qualifies, pursues, develops, reviews and learns from bids.

The AI Agent & Data Lead will work across bid management, knowledge management, data, digital delivery and business change to create practical solutions that improve productivity, quality, compliance, knowledge reuse and competitive advantage. The role will use Microsoft Copilot Studio, Microsoft 365, Power Platform and related technologies to create a portfolio of AI agents that support the work winning lifecycle.

In addition to building AI-enabled tools, the role will support the development of the work winning data foundation that enables agents to be grounded in trusted, current and reusable knowledge. This will include supporting the evolution of the Bid Knowledge Library into an AI-ready knowledge asset and creating feedback loops so that lessons from pursuits, reviews and bid outcomes are captured, structured and reused.

This is not a traditional software development role. It requires a blend of business process improvement, AI agent development, prompt engineering, knowledge management, data literacy, stakeholder engagement and change adoption.

Core Functions:

• To design, build, test and deploy AI agents that support the work winning lifecycle.
• To maintain and continuously improve a portfolio of work winning agents, prompts, workflows and reusable AI-enabled tools.
• To use Microsoft Copilot Studio and related Microsoft technologies to create practical, user-focused solutions.
• To support the development of AI agents for opportunity qualification, capture planning, storyboarding, bid development, content review, lessons learned and knowledge retrieval.
• To define the work winning data and knowledge requirements needed to support effective AI-enabled bidding.
• To support the evolution of the Bid Knowledge Library into an AI-ready knowledge asset.
• To help structure information relating to opportunities, clients, sectors, pursuits, bid reviews, outcomes, lessons learned, SMEs, differentiators and reusable evidence.
• To work with bid teams, knowledge owners and SMEs to ensure agents are grounded in approved, current and reliable information.
• To develop and maintain prompt libraries, agent templates, skills, workflows and guidance materials.
• To create feedback loops between users, agents, knowledge assets and bid outcomes.
• To analyse agent usage, user feedback and bid performance data to identify improvement opportunities.
• To support governance, testing, assurance and responsible use of AI across work winning.
• To translate business requirements into agent designs, process improvements and implementation plans.
• To train and support colleagues in the effective, responsible and confident use of AI-enabled work winning tools.
• To contribute to the overall development of the UK Strategic Bids team and its services.

Requirements

• Good practical understanding of generative AI, AI agents, prompt engineering or low-code automation.
• Experience of designing or improving business processes, workflows or digital tools.
• Strong data literacy, including the ability to structure information for retrieval, analysis and reuse.
• Good understanding of knowledge management, content quality, metadata or information governance.
• Experience of working with Microsoft 365 tools such as SharePoint, Teams, Lists, Forms, Power Automate or Power BI.
• Ability to gather requirements from business stakeholders and translate them into practical solutions.
• Strong and effective verbal and written communication skills.
• A collaborative approach, with the ability to work across business, technical and operational teams.
• Robust project management and product ownership skills, with a meticulous approach to detail and quality.
• Strong time management skills and ability to prioritise competing requirements.
• A proactive approach, using initiative and taking responsibility for delivery.
• Ability to assimilate large volumes of information and identify practical improvement opportunities.
• Ability to explain AI, data and digital concepts in clear, simple and business-relevant language.
• A passion for quality, continuous improvement and measurable business impact.
• Confidence to challenge existing processes and propose better ways of working.
• Commitment to responsible, secure and human-led use of AI.
• Support and promote a culture of continuous improvement.

Role Accountabilities

The post requires a person who will:

• Lead the design, development and improvement of AI-enabled tools that support WSP’s work winning activities.
• Build and configure AI agents using Microsoft Copilot Studio and related Microsoft technologies.
• Work collaboratively with bid teams, work winning leaders, SMEs, knowledge managers, digital teams, data specialists and IT colleagues to identify and prioritise use cases.
• Convert work winning knowledge, bid processes and user needs into practical AI agents, prompts, workflows and reusable tools.
• Develop and maintain the roadmap and backlog for work winning agents and related data products.
• Support the creation of an AI-ready work winning data foundation, including appropriate structures for opportunities, pursuits, reviews, outcomes, lessons learned and reusable evidence.
• Support the development of the Bid Knowledge Library as a trusted knowledge source for both people and AI agents.
• Ensure agents are grounded in approved sources and are appropriately tested before release.
• Monitor the performance, adoption and effectiveness of agents, using feedback and data to improve them over time.
• Develop mechanisms to capture learning from bids, reviews and outcomes so that WSP can continuously improve future pursuits.
• Maintain appropriate documentation covering agent purpose, prompts, knowledge sources, workflows, risks, permissions and change history.
• Support users with training, guidance and practical adoption support.
• Promote responsible AI use, including the need for human review, SME judgement and compliance with WSP policies.
• Identify and share good practice across work winning, helping WSP improve how it uses AI, data and knowledge to win work.

Qualifications

• Qualified to degree level in an appropriate subject or able to demonstrate equivalent professional experience.
• Microsoft Applied Skills: Build an Agent in Microsoft Copilot Studio, or commitment to achieve within 12 months.
• Microsoft PL-900: Power Platform Fundamentals, or commitment to achieve within 12 months.
• Microsoft AI-900: Azure AI Fundamentals, or commitment to achieve within 12 months.
• Agile Product Owner, Scrum Product Owner or equivalent qualification preferable but not essential.
• Power BI, data analytics, knowledge management or information management qualification preferable but not essential.
• Change management qualification, such as Prosci or equivalent, preferable but not essential.
• IT literate, with strong working knowledge of Microsoft 365.

Knowledge / Experience

• Experience of developing or improving digital tools, business processes, workflows or knowledge systems. 
• Practical experience of using generative AI tools to improve business productivity, quality or decision-making. 
• Experience of Microsoft Copilot Studio, Power Platform or similar agent-building / low-code platforms would be highly desirable. 
• Experience of prompt engineering, AI agent configuration or AI-assisted workflow design would be highly desirable. 
• Experience of managing structured and unstructured knowledge sources, including SharePoint-based repositories. 
• Good understanding of data quality, metadata, content tagging and information governance. 
• Experience of working in bid management, work winning, business development, professional services or consultancy would be highly desirable. 
• Experience of managing a digital product backlog, roadmap or continuous improvement pipeline. 
• Experience of supporting business change, user adoption, training or digital transformation. 
• Awareness of responsible AI, information security, confidentiality and data governance principles. 
• Able to demonstrate a track record of turning business needs into practical, adopted and measurable improvements.